Timeline for Ideas for outputting a prediction equation for Random Forests
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 9, 2013 at 18:29 | vote | accept | dfife | ||
| Oct 10, 2013 at 13:28 | |||||
| Oct 9, 2013 at 15:11 | comment | added | wwwslinger | Most likely, yes. However, using RF to compute variable importance to reduce dimensionality, followed by a method your audience is more familiar with, is a common compromise. It's important to know that variable importance in RF is generally computed based on the performance within the RF (lift, reduce error, etc.) and might not all carry similar weight in other methods. | |
| Oct 9, 2013 at 12:51 | comment | added | dfife | Good point!--Aggregating the results of RF into a single equation will inevitably lose some of its advantages. I hadn't thought of that. | |
| Oct 9, 2013 at 8:03 | history | edited | wwwslinger | CC BY-SA 3.0 |
Added example slides
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| Oct 9, 2013 at 7:42 | history | answered | wwwslinger | CC BY-SA 3.0 |